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The Latest News, Articles, and Events in Signal Processing
The following volunteers have been named Editors-in-Chief of IEEE Signal Processing Society publications. The term for these Editors-in-Chief will run from 1 January 2021 through 31 December 2023.
The Nominations and Appointments Subcommittee for each Technical Committee is currently seeking nominations for new Members, as well as the Vice Chair position for some Technical Committees. Nominations for both positions should be submitted directly to each Technical Committee’s Nominations and Appointments Subcommittee. Please provide the name, contact information and biography with the nomination.
Serco is seeking a Sr. Digital Signal Processing Engineer to support senior technical personnel and project managers in various technical activities related to system and technical product development. Receives general supervision from management as well as technical guidance and training from the more experienced technical staff.
Job Functions:
Job Vacancies: Three Researchers in AI for Sound [We would particularly like to encourage applications from women, disabled and Black, Asian & Minority Ethnic candidates, since these groups are currently underrepresented in our area.] Location: University of Surrey, Guildford, UK Deadline: Friday 17 July 2020 (23:00 GMT) Applications are invited for three new researchers (two Research Fellows and one Research Engineer) to work full-time on an EPSRC-funded Fellowship project "AI for Sound": https://www.surrey.ac.uk/news/fellowship-advance-sound-new-frontiers-usi... * Research Fellow in Machine Learning for Sound https://jobs.surrey.ac.uk/025620 * Research Fellow in Design Research for Sound Sensing https://jobs.surrey.ac.uk/025420 * Research Engineer (Research Fellow) in Sound Sensing https://jobs.surrey.ac.uk/025520
In an effort to continue our programs and services during this difficult time, the SPS Awards Board is now accepting nominations for all Society level awards, from paper awards to the major society awards. Nominations are due by 1 September 2020.
A postdoctoral scholar position with a focus on applications of machine learning in cardiac MRI. Details can be found at:
Given the impossibility of travel during the COVID-19 crisis, Computational Imaging TC is launching an SPS Webinar Series SPACE (Signal Processing And Computational imagE formation) as a regular bi-weekly online seminar series to reach out to the global computational imaging and signal processing community.
The Computational Medicine Laboratory (CML) at the University of Houston is currently looking to recruit one highly motivated and creative Ph.D. student with applied mathematics, signal processing, and/or control theory background to develop mathematical algorithms for biomedical engineering applications with a focus on human subject research.
Future networks must provide services to a range of applications and devices with competing and perhaps conflicting requirements while simultaneously allowing flexible deployment. Software Defined Networks (SDN) have a critical role to play in securing such networks against sophisticated security attacks, with its ability to manage dynamically security policies for monitoring and controlling traffic and enforcing them via virtualized network functions.
Submission Deadline: August 11, 2020
Call for Proposals Document
The IEEE Signal Processing Society invites nominations for the positions of the Chair, Women in Signal Processing Committee and Chair, Young Professionals Committee. The term for the two positions is three years (1 January 2021-31 December 2023). Nominations must be received no later than 10 July 2020.
Lecture Date: July 3, 2020, 10:00 AM (GMT+8)
Location: Virtual
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Topic: Signal Processing and Optimization in UAV
Communication and Trajectory Design (ML-Com)
Lecture Date: June 19, 2020, 10:00 AM (GMT+8)
Location: Virtual
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Topic: Modeling and learning social influence from opinion dynamics under attack (DistSP-Opt)
As a reminder, most of the SPS publications have eliminated month-based issues and moved to a volume-only, continuous pagination model. This allows for rapid dissemination of content for our journals and now, articles are posted to their respective journals on IEEEXplore® nearly every day!
Institute of Electronics and Computer Science (EDI) announces the opening of the competition for preliminary selection of postdoctoral applications for submission to the State Education Development Agency (SEDA) under the Activity 1.1.1.2 “Post-doctoral Research Aid” of the Specific Aid Objective 1.1.1 “To increase the research and innovative capacity of scientific institutions of Latvia and the ability to attract external financing, investing in human resources and infrastructure” of the Ope
In this paper, we study the problem of compressed sensing using binary measurement matrices and
This paper proposes a novel algorithm to determine the optimal orientation of sensing axes of redundant inertial sensors such as accelerometers and gyroscopes (gyros) for increasing the sensing accuracy. In this paper, we have proposed a novel iterative algorithm to find the optimal sensor configuration.
Distributed data clustering in sensor networks is receiving increasing attention with the development of network technology. A variety of algorithms for distributed data clustering have been proposed recently. However, most of these algorithms have trouble with either non-Gaussian shaped data clustering or model order selection problem.
Structure inference is an important task for network data processing and analysis in data science. In recent years, quite a few approaches have been developed to learn the graph structure underlying a set of observations captured in a data space. Although real-world data is often acquired in settings where relationships are influenced by a priori known rules, such domain knowledge is still not well exploited in structure inference problems.
This article presents limited feedback-based precoder quantization schemes for Interference Alignment (IA) with bounded channel state information (CSI) uncertainty. Initially, this work generalizes the min-max mean squared error (MSE) framework, followed by the development of robust precoder and decoder designs based on worst case MSE minimization.
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